
Improving prediction of crop yield with long-term meteorological forecasts and data assimilation
How can we use long-term meteorological forecasts and data assimiliation to improve crop yields?
Nitrogen (N) is the most abundant and essential mineral for plants. It is a component of nucleic acids and proteins; notably rubisco for photosynthesis.
As the world population gows and available arable land decreases, higher demand for crop production has come with increased use of chemical fertilizer; of which N is the major component. However, the use of N fertilizers in high input farming regions such as Europe, China and India, results in emissions and leaching. There is an urgent need to reduce nitrate leaching into groundwater.
In contrast, low input farming regions like Africa require additional N. To cope with the global N problem, plant growth-promoting rhizobacteria (PGPR) might play a crucial role as a biological fertilizer due to their ability to fix atmospheric nitrogen. Many Pseudomonas spp. have been tested as PGPR because of their distinctive traits: production of growth regulators, siderophores, volatile organic compounds (VOCs), protection enzymes, and N-fixation.
Pseudomonas koreensis has not been tested previously, so we are testing it with the cereal crop model Brachypodium distachyon for its ability to be a PGPR, as well as uncovering molecular mechanisms by combining omics technologies available in Germany and Australia.
I started my PhD at the Forschungszentrum Jülich in September 2019. I received my B.Sc degree in Biology at Heinrich-Heine-University, Düsseldorf, Germany in 2016 and my M.Sc. degree in Biotechnology at FH Aachen, Campus Jülich, Germany in 2019.
Contact: s.sanow@fz-juelich.de
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